Machine Learning Engineer - Applied ML & Research
Core
Develop cutting-edge machine learning solutions to power critical features, platform security, and data-driven decision-making for online gaming platforms.
Role type
Applied ML & Research Machine Learning Engineer
Builds
Online gaming platform features, security systems, and user experience tools
Domain
Online gaming and sports betting
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, XGBoost, machine learning fundamentals, Large Language Models (LLMs), feature engineering, model deployment, pipeline implementation
Preferred skills
MLflow, ZenML, Metaflow, AWS services (EC2, EKS, CloudFormation, Cognito), streaming data platforms (Kafka), open-source ML contributions
Technologies
PyTorch, XGBoost, Python, SQL, MLflow, ZenML, Metaflow, AWS, Kafka
Responsibilities
Partner with product and engineering to execute ML use cases; Design, build, and iterate on ML solutions (classifiers, regressors, ranking/retrieval); Contribute across the ML lifecycle (data exploration, training, evaluation, deployment, monitoring); Implement reliable training and inference pipelines; Communicate model behavior and results to stakeholders; Contribute to team standards for code quality and responsible ML practices
Seniority
Mid-level, hands-on IC